Triple

T20010771
Position Surface form Disambiguated ID Type / Status
Subject Paco Tous E494582 entity
Predicate familyName P18 FINISHED
Object Martínez Tous NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Martínez Tous | Statement: [Paco Tous, familyName, Martínez Tous]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martínez Tous
Context triple: [Paco Tous, familyName, Martínez Tous]
  • A. Gómez Noya
    Gómez Noya is the family name of Spanish triathlete Javier Gómez Noya, one of the sport’s most successful and decorated competitors.
  • B. Ramón Bayeu y Subías
    Ramón Bayeu y Subías was an 18th-century Spanish painter associated with the Royal Tapestry Factory in Madrid and the circle of Francisco Goya.
  • C. Eusebio Sempere
    Eusebio Sempere was a Spanish painter and sculptor known for his pioneering work in geometric abstraction and kinetic art.
  • D. Muñoz Sampedro
    Muñoz Sampedro is a Spanish family name associated with the actress Matilde Muñoz Sampedro and her artistic relatives.
  • E. Francisco Martínez Tous chosen
    Francisco Martínez Tous is a Spanish actor best known for his role as Paco Miranda in the television series "Los hombres de Paco" and as Moscow in the international hit "La Casa de Papel" (Money Heist).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662362df48190abf16129eea39985 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:33 p.m.